We are proposing the solution for musical content recommendation, which is based on assessment of tracks similarity with taking into account tree factors - genre description, sound and rhythm patterns and user preferences. We have introduced the music compositions distance measure based on their representation as mel-spectrograms, and deep-learning approach to high-level (tags) music description, based on the extracted acoustic and rhythmic patterns from their spectra.